Case Study 03 · GTM & SalesComing soon
AI GTM & Sales Agent Pipeline
Lead sourcing, enrichment, personalization, outbound automation, reply classification, and CRM routing using AI workflows.
ApifyApolloInstantlyOpenAILangChainWebhooksCRMLead Scoring
What this system does
- Sources leads from Apify scrapers and Apollo searches into a normalized pipeline.
- Enriches every contact with firmographic, technographic, and intent signals.
- Generates personalized first-touch copy with structured LLM prompts and brand guardrails.
- Sends and tracks outbound through Instantly with deliverability monitoring.
- Classifies replies (interested, objection, unsubscribe, OOO) and routes to the right CRM stage.
- Scores leads continuously based on engagement and enrichment signals.
Why it's an AI system, not just sequences
- Personalization is grounded in real enrichment data, not generic merge fields.
- Reply classification uses an LLM with structured output and confidence thresholds.
- Low-confidence replies get queued for human review instead of mis-routed.
- Every prompt, output, and routing decision is logged for review and iteration.
Status
Full case study with workflow diagrams and prompt patterns is in progress. Get in touch for a walkthrough.
Build something similar?
Let's talk about your operations stack.